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Balancing industry collaboration and academic innovation: The contingent role of collaboration-specific attributes

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  • Lin, Jun-You

Abstract

This study highlights the effects of industry collaboration in enhancing academic innovation output. We exploit a unique longitudinal dataset on the 110 top U.S. research universities for the last 19years. Our empirical findings confirm that the relationship between the number of industry collaborations and academic innovation is curvilinear. Moreover, we hypothesized and found that university contribution, collaboration breadth and knowledge capacity moderate the curvilinear relationship between the number of industry collaborations and academic innovation. Poisson, negative binomial and generalized negative binomial regressions are used to test the hypotheses in a panel data of 2090 university-year cases. Our results are robust to the three econometric methods, measures of variety of academic innovation and the findings support our prediction.

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  • Lin, Jun-You, 2017. "Balancing industry collaboration and academic innovation: The contingent role of collaboration-specific attributes," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 216-228.
  • Handle: RePEc:eee:tefoso:v:123:y:2017:i:c:p:216-228
    DOI: 10.1016/j.techfore.2016.03.016
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    1. Bhullar, Supreet S. & Nangia, Vinay K. & Batish, Ajay, 2019. "Research article: The impact of academia-industry collaboration on core academic activities: Assessing the latent dimensions," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 1-11.

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